solver suites and real world applications using Python, Maple and Matlab IntroductionThe objective of this paper is to teach students how to solve ODEs using Python and Matlab’sODE solver programming tools. This teaching module will thus prepare our beginning juniorelectronics, computer, and bioengineering students before they encounter sensor/signalconditioning, processing, and other topics that they may delve into for their capstone seniorproject. Matlab also presents several tools for modeling linear systems.This paper will explain how this learning and teaching module is instrumental for progressivelearning of students; the paper will also demonstrate how the numerical and integral algorithmsare derived and computed through leverage of the
teaching CSECcurriculum, is balancing the need for learners to have not only the knowledge, but also the skillsand abilities [13]. To address this problem, we can turn to competency-based education (CBE)[8], [13]. CBE is not a new pedagogical concept. It has a relatively long history in K-12education and higher education [14], [15]. According to Geravis, 2016, CBE can trace its originsin US education back to the Morill Land-Acts of 1862 and the notion of applied education.CBE focuses on having students demonstrate the mastery and application of knowledge andskills beyond the confines of the classroom (i.e., in the real world). CBE is also known asoutcomes or problem-based learning [16]. The goal of CBE is to better balance the expectationsand
- critical networks, vehicular networks, virtualized wireless networks, green communications, the Internet of Things, and unmanned aircraft systems. Dr. Marojevic has been instructor of undergraduate and graduate level classes at the Barcelona Tech and Virginia Tech. He is a member of the IEEE, ACM, and ASEE.Dr. Antoni Gelonch-Bosch, Universitat Polit`ecnica de Catalunya Antoni Gelonch-Bosch is associate professor at Dept. of Signal Theory and Communications at Barcelona- Tech University from 1997. His research interest has moved along years from the development of suit- able hardware platforms for implementing wireless systems, attending real-time processing constraints, to application of Software Radio concept and
Paper ID #21251Teaching Directory Services: Topics, Challenges, and ExperiencesDr. Yu Cai, Michigan Technological University Dr. Yu Cai is an associate professor and program chair in the Computer Network and System Adminis- tration (CNSA) program at the School of Technology, Michigan Technological University. His current research interests include cyber security and medical informatics. He is particularly interested in applying his research and techniques to real-life applications. He has been a consultant to many companies includ- ing IBM and Ford. Dr. Cai serves in editorial boards of several international journals. He
as being less daunting. Faculty also directly encouragedstudents taking the non-major course to consider pursuing CS. Five departments marketed oroffered a CS minor to student in other majors, and three departments created dual majors oronline post-baccalaureate programs for students majoring in other fields that have highconcentrations of women (i.e., biology and psychology). Explicitly drawing attention to the waysin which computing and other fields intersect enables students to understand the relevance ofcomputing to real-world, socially relevant applications, which also influence their commitmentto the major once enrolled [5].Finally, institutions made other systemic changes that likely contributed to attracting morewomen. Four schools
evaluation of a Real-Time Text Display with Speaker-Identification, whichdisplays the location of a speaker in a group (RTTD-ID). RTTD-ID aims to reduce frustration inidentifying and following an active speaker when there are multiple speakers, e.g., in a lab. It hasthree different display schemes to identify the location of the active speaker, which helps deafstudents in viewing both the speaker’s words and the speaker’s expression and actions.We evaluated three RTTD speaker identification methods: 1) traditional: captions stay in oneplace and viewers search for the speaker, 2) pointer: captions stay in one place, and a pointer tothe speaker is displayed, and 3) pop-up: captions “pop-up” next to the speaker. We gathered bothquantitative and
,as well as at comparable institutions in Canada (specifically, British Columbia). While the academic and professionalbackgrounds of the two authors of this paper are considerably different, we also share quite a bit in common: inparticular, both of us have spent several years in high-tech industry prior to returning to the academic world asComputer Science faculty. In particular, when teaching various CS courses, we try to relate concepts and techniquescovered to the "real-world" applications, and in particular the recent and current technology challenges and R&D donein industry. We have applied this general philosophy to virtually all courses we have taught, including the verytheoretical ones -- such as those on Automata and Formal
, most do not gain admission until their junior year. This policy impacts retention as astudent is at high risk to leave until admitted. The Computing Accreditation Commission ofABET2 accredits the CS BS program.2.2 Intro CSIntro CS at MSU is a 15-week, 4-credit course introducing students to solving problems throughprogramming.3 In this course, students design, implement, and test programing solutions toproblems in engineering, mathematics and science. Weekly projects emphasize datamanipulation using real-world examples,4 which have broad appeal in showing how computingconnects to students’ lives and interests [8], [10]. A typical CS major takes Intro CS in hersecond or third semester on campus. However, a student who is not ready for
the computationalcomplexity of large-scale simulations and extremely high cost of commercial tools. To furthertheir research into large-scale simulation required in real-world scenarios, HPC techniques canbe applied to optimize their research computing code in the future.Point 3: The engineering faculty tends to recruit graduate students from their respectiveengineering disciplines. The advantage of this practice is that these students are well preparedfor working on the engineering problems. The downside is that they are rarely formallyeducated enough in skills required for developing HPC software. Novel educational pathwaysmust be explored to better prepare these students in computational approaches and HPCsoftware engineering that are
platform for new VR and ARhardware releases. Unity will be used by this project to develop the AR application [4-11].Various techniques can be used to recognize and track real-world objects, such as opticaltracking, structured light, electromagnetic tracking, marker-based tracking, and model-basedtracking [12-14]. Vuforia utilizes advanced computer vision to recognize and track real-worldobjects using a variety of methods, such as images, markers (VuMarks), 3D models, and multitargets.3. Current ResultsA mobile version of the AR application for JLTV operation and maintenance is being developedand has been deployed to Android platforms. The mobile app is able to communicate with theFreematics OBD-II Emulator and real vehicles via Bluetooth
change with time. UML can alsobe used to map out the changes that an applicant goes through during the job application process.This term project was designed and implemented during Fall 2020 semester, and was designed tocreate a student experience to practice and instantiate Object Oriented Design concepts andmodeling skills in a real-world project. Unified Modeling Language, when properly applied duringthe design phase, has been shown to later result in increased source code comprehensibility 2 .Pedagogically, the learning goals for the fall project are in two categories: (1) one static designmodel and a minimum three dynamic design models in the conceptual level; (2) application andskills of modeling real world system in the project-based
controls andprocedures, and to help them internalize necessary safety precautions so they are ready and ableto use a real SEM later on. They also use the VR SEM experience to familiarize themselves withthe process of taking nanoscale measurements. In phase four, after students have proven they canuse an SEM in the VR lab, students are granted access to a real SEM in order to test theirknowledge of SEM functionality and to provide additional SEM experience. The goal of thenanotechnology team in designing the VR SEM was to mimic real-world use of the SEM in theVR lab to a degree that students trained only via the VR simulation are capable of using a real-world SEM without additional training. Further testing is needed to assess the
-term investment in a software platform.IntroductionExperiential learning is a relatively modern technique to supplement students’ education by“[developing] a wide range of thinking strategies and perceptual skills which are not called forthby books or lectures” [1]. The benefits of this method have long-term impacts that play a crucialrole in an individual’s professional success. Most ABET-accredited higher-education programsfeature a design course intended to leverage experiential learning by pairing the culmination ofstudents’ knowledge from their undergraduate program with a simulated real-world industryenvironment [2], [3]. There are also several supplemental outlets for continuous project-basedlearning on a larger scale, such as research
are encapsulated and modularized with friendly and easy-to-useinterfaces. AI curricula are developed based on constructivism, project-based learning andmultidisciplinary integration. Typical teaching cases, such as speech recognition, text recog-nition, image recognition, intelligent transportation, smart home, intelligent robots, etc.,which are used to enhance comprehension of AI concepts and applications, are also discussed. Keywords : AI Education, Innovation Capability, Constructivism, iSTREAM1. Introduction The radical and transformative technological revolution of artificial intelligence (AI) hasresulted in fundamentally new ways of science and engineering practice. Countries aroundthe world have released national strategies to
of CNN was concept of CNN and demonstrated adequate very attractive to the justify the practical understanding of the students. The topic could be importance of the concept, and proposed properly introduced to proposed classes. original classification tasks students without involving that are meaningful in the advanced knowledge that real world. might beyond undergraduate level. 2. Install Tensorflow and Some students struggled In-class practice and one-to- necessary dependencies. when trying to install
occupancy simulation models the dynamic spatial-temporal behavior and activities of occupantsin buildings. Studying and knowing the occupancy dynamics of a building is useful in multiple applications,including an effective evacuation of buildings with many occupants, energy conservation in buildings basedon occupancy presence, design and monitor of smart environments, real-time crowd management in high-density places such as airports and train stations, and so on. Various simulation models have been developedto study the dynamics of building occupancy. These models simulate the occupancy patterns, occupancybehavior, and their interactions with each other as well as with the environment. Meanwhile, advances insensor technology allow more and more
relate to this teaching methodology.2. Using Case-Based and Project-Based Learning for Teaching Data Science.In Fall 2020 we taught for the first time a course on information and data management. Thiscourse is the first in the series of the courses designed specifically for our BS in Data Scienceprogram. We used feedback from this course to learn about the effectiveness of our CBLapproach towards teaching Data Science.According to the Case-based Learning page of the Yale Poorvu Center for Teaching andLearning 6, retrieved July 24th 2020, “Case-based learning (CBL) is an established approach usedacross disciplines where students apply their knowledge to real-world scenarios, promotinghigher levels of cognition.” We use this resource from Yale
inter-networking courses, where integration of physical and emulated devices withSDN controllers and application is required, we chose GNS3 (see Figure 2) . Figure 2: An example of a simple SDN-based switching network3.3.1 GNS3Graphical Network Simulator-3 (GNS3) is an open-source network software emulator written inPython. It allows the combination of virtual and real devices, used to simulate complex networks. Ituses Dynamips emulation software to simulate the Cisco IOS. Most recently, GNS3 has expandedits integration portfolio to include Docker Containers, VMware virtual machines (VMs), Virtu-alBox VMs and KVM/QEMU VMs. GNS3 is used by many large companies including Exxon,Walmart, AT&T, and NASA, and is also popular
and IPSs to collect stateand inspect application-layer payloads in real-time. However, these systems are omitted in ScienceDMZ setups because of substantial impact on flow rates. Instead, high-speed networks can beprotected by a combination of router’s access-control lists (ACLs) and offline intrusion detectionsystems (IDSs) [4]. While there are plenty of instructional materials for enterprise firewalls andonline IPSs, learning materials for friction-free security are limited or non-existent. Firewall / security appliances Router Transport DTN / Data Security
, SamsungOdyssey and HTC Vive. This was done in order to test compatibility with multiple VR types, therationale for doing so shall be explained later in this paper. The lab experience was designedfollowing a real-world lab that UVU is creating for students to use once they have tested andgrown their abilities in VR. Upon completion of the VR lab, students were asked to test thevirtual reality experience. Before and after testing the VR etching lab students were givensurveys about their prior experience with VR as well as their thoughts on the VR etching lab.The results from which researchers will utilize to improve said lab and make any adjustmentsnecessary to increase its potential in helping students prepare for careers in the
evolve into the future.” • “Working with a lot of different programs has allowed me to think about trends to make the world more efficient.” • “We discussed the growth in demand for cybersecurity professional on both the personal/individual and institutional levels.” • “I have been able to understand how CS is in every industry. In accounting, CS can be powerful in data manipulation and protection. We also went over real case examples from the news which were applicable.” Figure 3. Student responses to the learning Figure 4. Student natural language summary objective “Develop an action plan to modify of the open-ended essay questions. or address an ethics or character issue”.For the learning
to make the game more fun.Because Magnitude Museum is an introductory game the real-life usage conditions are not welldefined. Students will need to estimate sizes, convert units of size, and use nanotechnology termsin a variety of jobs and nanotechnology applications, and there is no single description of usageconditions that covers all of those situations. However, this learning principle is still important inthe pedagogical design of the game. Although some parts of the game have whimsical orfantastic aspects, the puzzles do not. That means that when the students are practicing they arefocused on real-life objects and concepts.3. Feedback is necessary for learning to occur.This principle states that learners need feedback to learn. One
≥ 0 𝑓(𝑥) = { 0, 𝑥 < 0Normal distribution, also known as Gaussian distribution.Applications to EEG:Advances in technology and the widespread availability of powerful computing devices havegiven a new meaning to the term applied signal processing for real world EEG analysis andapplications with introduction of Monte Carlo simulations in recording and analysis of electricalactivity of the human brain.Mastery and expertise in clinical EEG interpretation is one of the most desirable diagnostic clinicalskills in interpreting seizures, epilepsy, sleep disorders, and other neurocognitive studies. In mostcases EEG activity is described in terms of
Engineering Education, 2020 Interdisciplinary Cybersecurity Projects Experience: Developing a Market Ready WorkforceABSTRACTThe increasing advancement in Internet of Things (IoT) and Industry 4.0 inspires moreconnectivity of vital infrastructure to the cloud. Securing our infrastructure digital and controlsystems is currently a crucial demand in a cyber-world characterized by continuous cybersecurityattacks. Preparing qualified students to satisfy the current and future work force requirement incybersecurity is deemed essential. One of the main cybersecurity domain challenges is itsinterdisciplinary nature that involves scientists, engineers, technologists, and business teams. It isalmost impossible in real life to mitigate
an extra challenge for us to try andcombine all of our work”. Figure 2. Survey Question 13 Results27. Presently, I can understand journal articlesAll but one student either maintained or increased their understanding of journal articles. Forthat one student, they went from feeling that they had “A lot” of understanding to “Not at all”.One possible explanation is that they learned how complex a journal article can be; they becameaware of their own Dunning-Kruger effect. Figure 3. Survey Question 27 Results30. Presently, I can engage in real-world scientific research and 31. Presently, I feel like ascientistOf particular interest is that, according to item 30, all students
, the camera approach has its own limitations. The cameras take and process data in a2D, or stereoscopic (pseudo 3D) representation of the world. This is different from the real 3Ddata points received from LIDAR. The computer processing required to construct and understandthe 3D world from the 2D data is very complicated and financially expensive as well. Figure 8. Tesla Autopilot 13 Figure 9. Tesla 8 cameras and 12 ultrasonic sensors [25]The development of autonomous vehicles can have two different end points. They can be fullyautonomous cars without the need of a driver, or they can be driver-managed autopilot-enabledcars. Google SDC
approaches is presented from the point of view of the student. Theassessment also asked the student to rate the assignment topics, to list how many hours werespent per each lab, and to propose suggestions for improvement.1 IntroductionLaboratory work is essential for students in the Science, Technology, Engineering, andMathematics (STEM) fields, and its importance is well-studied [1, 2]. Laboratory assignmentsoffer students opportunities for practical applications of theory and have the potential to promoteknowledge acquisition via experimentation. Hands-on learning is an important process forstudents, as active learning achieves positive educational results and prepares students forreal-world problems in the STEM fields [3]. Laboratories allow
[2]. Similarly,DynDNS and OVH experienced significant attacks of over 1Tbps that took them offline [2].With the ability to generate over 2 Tbps of persistent non-amplified traffic with IoT devicesranging from DVRs to movie streaming devices, IoT botnets could have significant orcatastrophic effects on even the largest enterprises.4.4 Real World Scenario: Krebs on SecurityThe attack on Brian Krebs was the first sensationalized report of a DDoS attack generating morethan 600 Gbps of persistent attack capability. Although determining the amount of DDoSbandwidth is possible with a high level of accuracy, determining the number of devices involvedin a DDoS attack is not an easy task. After the Brian Krebs attack, it was reported that the
today’s ever-evolving technologies.” [4].In order to meet our country’s need, a learning system, CLaaS, was developed to foster highlyeducated and skilled cybersecurity professionals to protect our nation’s critical cyberinfrastructure. The system included a set of CyberSec labs and was designed to be adapted formultiple uses. Leveraging virtualization technology and a user-friendly GUI application, learnerscan access the system anytime and anywhere in the world to practice cyber-attack and cyber-defense techniques. Upon completion of the cybersecurity activities included in the system,learners will be well-prepared and ready to contribute their knowledge and hands-on experiencesin cybersecurity to a high demand workforce.In order to promote the
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